{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6d48ce42-8bac-45e6-84a9-97cf360e742c",
   "metadata": {},
   "source": [
    "# <span style=\"color: #9333EA;\">九  对比柱形图</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "35b4f426-be5b-4978-91c0-2619ada9cf1a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "ERP订单数据 - 商品类别年度订单数量统计\n",
      "==================================================\n",
      "商品类别   2024年    2025年    变化量      变化率       \n",
      "--------------------------------------------------\n",
      "裙子     18       102      84       +466.7%   \n",
      "毛衣     12       95       83       +691.7%   \n",
      "卫衣     15       112      97       +646.7%   \n",
      "裤子     11       123      112      +1018.2%  \n",
      "夹克     14       112      98       +700.0%   \n",
      "外套     21       102      81       +385.7%   \n",
      "T恤     17       117      100      +588.2%   \n",
      "衬衫     12       117      105      +875.0%   \n",
      "==================================================\n",
      "总计     120      880      760      +633.3%\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "详细分析:\n",
      "总订单变化: 2024年 120 → 2025年 880 (+760)\n",
      "增长最多的类别: 裤子 (+112)\n",
      "数据时间范围: 2024-10-20 23:35:57 到 2025-10-23 21:19:32\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 设置中文字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "# 读取ERP订单数据\n",
    "data = pd.read_excel(\"ERP订单数据.xlsx\")\n",
    "\n",
    "# 1. 处理时间与季度\n",
    "date_column = data.columns[6]  # 调整为您数据中实际日期列的列名\n",
    "\n",
    "# 转换时间格式并处理错误\n",
    "data[\"下单时间\"] = pd.to_datetime(data[date_column], errors=\"coerce\")\n",
    "data = data.dropna(subset=[\"下单时间\"])\n",
    "\n",
    "# 提取年份\n",
    "data[\"年份\"] = data[\"下单时间\"].dt.year\n",
    "\n",
    "# 2. 定义目标商品类别\n",
    "target_categories = {\n",
    "    \"裙子\": \"裙子\",\n",
    "    \"毛衣\": \"毛衣\", \n",
    "    \"卫衣\": \"卫衣\",\n",
    "    \"裤子\": \"裤子\",\n",
    "    \"夹克\": \"夹克\",\n",
    "    \"外套\": \"外套\",\n",
    "    \"T恤\": \"T恤\",\n",
    "    \"衬衫\": \"衬衫\"\n",
    "}\n",
    "\n",
    "# 3. 统计2024年和2025年各类别订单数量\n",
    "category_2024 = {}\n",
    "category_2025 = {}\n",
    "\n",
    "for category, keyword in target_categories.items():\n",
    "    # 筛选对应商品类别的数据\n",
    "    category_data = data[data[\"商品名称\"].str.contains(keyword, na=False)]\n",
    "    \n",
    "    # 统计2024年\n",
    "    count_2024 = category_data[category_data[\"年份\"] == 2024].shape[0]\n",
    "    category_2024[category] = count_2024\n",
    "    \n",
    "    # 统计2025年\n",
    "    count_2025 = category_data[category_data[\"年份\"] == 2025].shape[0]\n",
    "    category_2025[category] = count_2025\n",
    "\n",
    "# 4. 打印统计结果\n",
    "print(\"=\" * 50)\n",
    "print(\"ERP订单数据 - 商品类别年度订单数量统计\")\n",
    "print(\"=\" * 50)\n",
    "print(f\"{'商品类别':<6} {'2024年':<8} {'2025年':<8} {'变化量':<8} {'变化率':<10}\")\n",
    "print(\"-\" * 50)\n",
    "\n",
    "categories = list(target_categories.keys())\n",
    "counts_2024 = [category_2024[cat] for cat in categories]\n",
    "counts_2025 = [category_2025[cat] for cat in categories]\n",
    "\n",
    "for i, category in enumerate(categories):\n",
    "    change = counts_2025[i] - counts_2024[i]\n",
    "    if counts_2024[i] > 0:\n",
    "        change_rate = (change / counts_2024[i]) * 100\n",
    "        rate_text = f\"{change_rate:+.1f}%\"\n",
    "    else:\n",
    "        rate_text = \"N/A\"\n",
    "    \n",
    "    print(f\"{category:<6} {counts_2024[i]:<8} {counts_2025[i]:<8} {change:<8} {rate_text:<10}\")\n",
    "\n",
    "print(\"=\" * 50)\n",
    "total_2024 = sum(counts_2024)\n",
    "total_2025 = sum(counts_2025)\n",
    "total_change = total_2025 - total_2024\n",
    "total_change_rate = (total_change / total_2024 * 100) if total_2024 > 0 else 0\n",
    "print(f\"{'总计':<6} {total_2024:<8} {total_2025:<8} {total_change:<8} {total_change_rate:+.1f}%\")\n",
    "\n",
    "# 5. 创建对比柱形图\n",
    "fig, ax = plt.subplots(figsize=(14, 10))\n",
    "\n",
    "# 设置背景色\n",
    "fig.patch.set_facecolor('#1a1a3d')\n",
    "ax.set_facecolor('#1a1a3d')\n",
    "\n",
    "# 设置x轴位置\n",
    "x_pos = np.arange(len(categories))\n",
    "bar_width = 0.35\n",
    "\n",
    "# 创建柱形图 - 2024年（深蓝色）和2025年（浅蓝色）\n",
    "bars_2024 = ax.bar(x_pos - bar_width/2, counts_2024, bar_width, \n",
    "                   label='2024年销量', color='#1f77b4', alpha=0.9, edgecolor='#1f77b4', linewidth=1)\n",
    "\n",
    "bars_2025 = ax.bar(x_pos + bar_width/2, counts_2025, bar_width, \n",
    "                   label='2025年销量', color='#87ceeb', alpha=0.9, edgecolor='#87ceeb', linewidth=1)\n",
    "\n",
    "# 添加箭头表示变化\n",
    "for i, (count_2024, count_2025) in enumerate(zip(counts_2024, counts_2025)):\n",
    "    if count_2025 > count_2024:  # 只有增长的情况添加向上箭头\n",
    "        x_position_2024 = x_pos[i] - bar_width/2  # 2024年柱子中心位置\n",
    "        x_position_2025 = x_pos[i] + bar_width/2  # 2025年柱子中心位置\n",
    "        y_start = count_2024  # 从2024年柱子顶部开始\n",
    "        y_end = count_2025    # 到2025年柱子顶部\n",
    "        \n",
    "        # 添加垂直箭头\n",
    "        ax.annotate('', xy=(x_position_2024, y_end), xytext=(x_position_2024, y_start),\n",
    "                   arrowprops=dict(arrowstyle='->', color='white', lw=2, \n",
    "                                  connectionstyle=\"arc3,rad=0\", shrinkA=0, shrinkB=0))\n",
    "        \n",
    "        # 添加水平连接线到2025年柱子\n",
    "        ax.plot([x_position_2024, x_position_2025], [y_end, y_end], \n",
    "                color='white', linestyle='-', linewidth=2)\n",
    "\n",
    "# 设置x轴标签\n",
    "ax.set_xticks(x_pos)\n",
    "ax.set_xticklabels(categories, color='white', fontsize=12, fontweight='bold')\n",
    "\n",
    "# 设置y轴\n",
    "ax.set_ylabel('订单数量', color='white', fontsize=12)\n",
    "ax.tick_params(axis='y', colors='white')\n",
    "\n",
    "# 设置标题\n",
    "ax.set_title('2025年对比2024年各商品类别订单数量销售情况', \n",
    "             color='white', fontsize=16, pad=20, fontweight='bold')\n",
    "\n",
    "# 添加图例\n",
    "ax.legend(facecolor='#1a1a3d', edgecolor='white', labelcolor='white', \n",
    "          loc='upper right', fontsize=12)\n",
    "\n",
    "# 在柱子上方添加数值标签\n",
    "for bar in bars_2024:\n",
    "    height = bar.get_height()\n",
    "    if height > 0:\n",
    "        ax.text(bar.get_x() + bar.get_width()/2., height + 0.5,\n",
    "                f'{int(height)}', ha='center', va='bottom', \n",
    "                color='white', fontsize=10, fontweight='bold')\n",
    "\n",
    "for bar in bars_2025:\n",
    "    height = bar.get_height()\n",
    "    if height > 0:\n",
    "        ax.text(bar.get_x() + bar.get_width()/2., height + 0.5,\n",
    "                f'{int(height)}', ha='center', va='bottom', \n",
    "                color='white', fontsize=10, fontweight='bold')\n",
    "\n",
    "# 添加网格线\n",
    "ax.grid(True, axis='y', alpha=0.2, color='white', linestyle='--')\n",
    "ax.set_axisbelow(True)\n",
    "\n",
    "# 添加注释说明\n",
    "max_increase_idx = np.argmax(np.array(counts_2025) - np.array(counts_2024))\n",
    "max_increase_category = categories[max_increase_idx]\n",
    "max_increase_value = counts_2025[max_increase_idx] - counts_2024[max_increase_idx]\n",
    "\n",
    "comment_text = f\"商品整体比去年销量有所变化，其中{max_increase_category}增长最多，增长{max_increase_value}个订单\"\n",
    "ax.text(0.02, 0.98, comment_text, transform=ax.transAxes, color='white', \n",
    "        fontsize=12, va='top', ha='left', style='italic')\n",
    "\n",
    "# 调整y轴范围，留出空间显示标签\n",
    "y_max = max(max(counts_2024), max(counts_2025)) * 1.15\n",
    "ax.set_ylim(0, y_max)\n",
    "\n",
    "# 调整布局\n",
    "plt.tight_layout()\n",
    "\n",
    "# 显示图表\n",
    "plt.show()\n",
    "\n",
    "# 可选：保存图表\n",
    "# plt.savefig('商品类别年度对比柱形图.png', dpi=300, facecolor='#1a1a3d', bbox_inches='tight')\n",
    "\n",
    "# 打印详细分析\n",
    "print(f\"\\n详细分析:\")\n",
    "print(f\"总订单变化: 2024年 {total_2024} → 2025年 {total_2025} ({total_change:+.0f})\")\n",
    "print(f\"增长最多的类别: {max_increase_category} (+{max_increase_value})\")\n",
    "print(f\"数据时间范围: {data['下单时间'].min()} 到 {data['下单时间'].max()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa0b0b0f-51c0-4dab-8b28-753678826447",
   "metadata": {},
   "source": [
    "### 图中落差大的原因是2024年的数据只从10月开始，2025年的数则从1月到10月，因此落差较大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7be7f5a5-ad12-4241-8a8e-3e2e5d5125c0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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